OpenStreetView uses image recognition that leverages computer vision to detect critical road data and attributes from street-level imagery through the driver's dash-mounted smartphone or camera. The details captured include speed limit signs, lane information and road curvature. Understanding the importance of visual privacy, OpenStreetView automatically blurs faces and license plates.
The addition of OBD-II integration brings more accuracy through car sensor data. OpenStreetView tracks live speed data and wheel position to augment GPS positioning, allowing our dead reckoning software to generate more accurate locations, paths and trip routes, especially in areas of lost GPS coverage such as tunnels, canyons, under dense tree coverage and among tall buildings.
"OpenStreetView is supporting the rapid evolution of OpenStreetMap, leveraging standard devices such as
mobile phones and elevating map making beyond simple mapping and pure navigation," said
"We are very excited about the results that have been produced in the past year of the OpenStreetView private beta," said
After less than one year of development, OpenStreetView has achieved significant results:
- 8.3 million images have been uploaded, averaging 100 thousand images per day
- 142 thousand total miles have been covered
- 52 thousand unique miles have been covered
The OpenStreetView platform, which was inspired by the OpenStreetView website created in 2009 by OSM community member
The free OpenStreetView app is available at the
The OpenStreetView team will be at State of the Map 2016 -
Video: Catch the Telenav OpenStreetView team at State of the Map Seattle.
Optimized for drivers, and available for cyclists and walkers, OpenStreetView is a free and open platform for street-level imagery that enables mappers to take the wheel. OpenStreetView includes OBD-II integration with the car for advanced data collection, and is compatible with major OSM online tools and editors. Mapper tools include JOSM and OpenStreetView map editor. With OpenStreetView, it is easy to capture images and road data to be uploaded to OSM and ready for editing. The platform includes free iOS and Android apps and open source web tools.
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